Ankit Dahal

493 total citations
9 papers, 334 citations indexed

About

Ankit Dahal is a scholar working on Oncology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Ankit Dahal has authored 9 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Cell Biology and 3 papers in Immunology and Allergy. Recurrent topics in Ankit Dahal's work include Cell Adhesion Molecules Research (3 papers), Cellular Mechanics and Interactions (3 papers) and Estrogen and related hormone effects (2 papers). Ankit Dahal is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), Cellular Mechanics and Interactions (3 papers) and Estrogen and related hormone effects (2 papers). Ankit Dahal collaborates with scholars based in United States. Ankit Dahal's co-authors include Todd W. Ridky, Elizabeth K. Duperret, Christopher A. Natale, Junqian Zhang, Ben Z. Stanger, Jinyang Li, Tzvete Dentchev, Jeffrey D. Winkler, Mingen Liu and Ravi K. Amaravadi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Journal of Cell Science.

In The Last Decade

Ankit Dahal

9 papers receiving 331 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ankit Dahal United States	7	128	94	84	69	55	9	334
Rossana Tiberio Italy	9	115 0.9×	52 0.6×	48 0.6×	56 0.8×	26 0.5×	16	313
Masahiro Kira Japan	8	130 1.0×	87 0.9×	100 1.2×	58 0.8×	17 0.3×	11	320
Sally D. Pennypacker United States	8	228 1.8×	63 0.7×	54 0.6×	37 0.5×	44 0.8×	9	355
Jianfen Lu United States	10	213 1.7×	99 1.1×	56 0.7×	59 0.9×	125 2.3×	10	497
Shin Shimaoka Japan	10	169 1.3×	77 0.8×	36 0.4×	105 1.5×	26 0.5×	13	402
Yuki Yoshino Japan	10	228 1.8×	63 0.7×	91 1.1×	75 1.1×	43 0.8×	24	372
Ralph Jans United States	11	189 1.5×	68 0.7×	37 0.4×	63 0.9×	15 0.3×	12	338
Ayumi Kusaka-Kikushima Japan	7	190 1.5×	193 2.1×	30 0.4×	47 0.7×	21 0.4×	9	433
Jessica Neil United States	11	270 2.1×	38 0.4×	55 0.7×	95 1.4×	15 0.3×	13	506
Gergely Groma Hungary	12	106 0.8×	75 0.8×	143 1.7×	109 1.6×	11 0.2×	21	383

Countries citing papers authored by Ankit Dahal

Since Specialization

Citations

This map shows the geographic impact of Ankit Dahal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ankit Dahal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Dahal more than expected).

Fields of papers citing papers by Ankit Dahal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ankit Dahal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ankit Dahal. The network helps show where Ankit Dahal may publish in the future.

Co-authorship network of co-authors of Ankit Dahal

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Dahal. A scholar is included among the top collaborators of Ankit Dahal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ankit Dahal. Ankit Dahal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Dahal, Ankit, Yeonsun Hong, Kihong Lim, et al.. (2024). Platelet-activating factor (PAF) promotes immunosuppressive neutrophil differentiation within tumors. Proceedings of the National Academy of Sciences. 121(35). e2406748121–e2406748121. 12 indexed citations

2.

Hong, Yeonsun, et al.. (2023). PD-1Hi CAR-T cells provide superior protection against solid tumors. Frontiers in Immunology. 14. 1187850–1187850. 6 indexed citations

3.

Dahal, Ankit, Irina Lerman, Andrea M. Amitrano, et al.. (2020). SAT-003 Prolactin Is Expressed in Uterine Leiomyomas and May Promote Their Growth. Journal of the Endocrine Society. 4(Supplement_1). 1 indexed citations

4.

Dahal, Ankit, Mingen Liu, Vito W. Rebecca, et al.. (2018). Lysosomes Support the Degradation, Signaling, and Mitochondrial Metabolism Necessary for Human Epidermal Differentiation. Journal of Investigative Dermatology. 138(9). 1945–1954. 50 indexed citations

5.

Natale, Christopher A., Jinyang Li, Junqian Zhang, et al.. (2018). Activation of G protein-coupled estrogen receptor signaling inhibits melanoma and improves response to immune checkpoint blockade. eLife. 7. 99 indexed citations

6.

Natale, Christopher A., Elizabeth K. Duperret, Junqian Zhang, et al.. (2016). Sex steroids regulate skin pigmentation through nonclassical membrane-bound receptors. eLife. 5. 92 indexed citations

7.

Duperret, Elizabeth K., et al.. (2016). The integrin αv-TGFβ signaling axis is necessary for epidermal proliferation during cutaneous wound healing. Cell Cycle. 15(15). 2077–2086. 27 indexed citations

8.

Duperret, Elizabeth K., Ankit Dahal, & Todd W. Ridky. (2015). Focal-adhesion-independent integrin-αv regulation of FAK and c-Myc is necessary for 3D skin formation and tumor invasion. Journal of Cell Science. 128(21). 3997–4013. 46 indexed citations

9.

Duperret, Elizabeth K., Ankit Dahal, & Todd W. Ridky. (2015). Abstract 2380: Integrin αv is necessary for skin tissue generation and SCC tumor invasion, but dispensable for tissue maintenance. Cancer Research. 75(15_Supplement). 2380–2380. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact